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remove incorrect link to old folders

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hetong 2014-09-06 23:14:38 -07:00
parent 80636cd804
commit 1925321a16
9 changed files with 11 additions and 10 deletions
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2
R-package/R/xgb.cv.R
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@ -15,7 +15,7 @@
#' } #' }
#' #'
#' See \url{https://github.com/tqchen/xgboost/wiki/Parameters} for #' See \url{https://github.com/tqchen/xgboost/wiki/Parameters} for
#' further details. See also inst/examples/demo.R for walkthrough example in R. #' further details. See also demo/ for walkthrough example in R.
#' @param data takes an \code{xgb.DMatrix} as the input. #' @param data takes an \code{xgb.DMatrix} as the input.
#' @param nrounds the max number of iterations #' @param nrounds the max number of iterations
#' @param nfold number of folds used #' @param nfold number of folds used

4
R-package/R/xgb.dump.R
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@ -7,10 +7,10 @@
#' @param fmap feature map file representing the type of feature. #' @param fmap feature map file representing the type of feature.
#' Detailed description could be found at #' Detailed description could be found at
#' \url{https://github.com/tqchen/xgboost/wiki/Binary-Classification#dump-model}. #' \url{https://github.com/tqchen/xgboost/wiki/Binary-Classification#dump-model}.
#' Run inst/examples/demo.R for the result and inst/examples/featmap.txt #' See demo/ for walkthrough example in R, and
#' \url{https://github.com/tqchen/xgboost/blob/master/demo/data/featmap.txt}
#' for example Format. #' for example Format.
#' #'
#'
#' @examples #' @examples
#' data(agaricus.train, package='xgboost') #' data(agaricus.train, package='xgboost')
#' data(agaricus.test, package='xgboost') #' data(agaricus.test, package='xgboost')

2
R-package/R/xgb.train.R
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@ -15,7 +15,7 @@
#' } #' }
#' #'
#' See \url{https://github.com/tqchen/xgboost/wiki/Parameters} for #' See \url{https://github.com/tqchen/xgboost/wiki/Parameters} for
#' further details. See also inst/examples/demo.R for walkthrough example in R. #' further details. See also demo/ for walkthrough example in R.
#' @param data takes an \code{xgb.DMatrix} as the input. #' @param data takes an \code{xgb.DMatrix} as the input.
#' @param nrounds the max number of iterations #' @param nrounds the max number of iterations
#' @param watchlist what information should be printed when \code{verbose=1} or #' @param watchlist what information should be printed when \code{verbose=1} or

2
R-package/R/xgboost.R
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@ -19,7 +19,7 @@
#' } #' }
#' #'
#' See \url{https://github.com/tqchen/xgboost/wiki/Parameters} for #' See \url{https://github.com/tqchen/xgboost/wiki/Parameters} for
#' further details. See also inst/examples/demo.R for walkthrough example in R. #' further details. See also demo/ for walkthrough example in R.
#' @param nrounds the max number of iterations #' @param nrounds the max number of iterations
#' @param verbose If 0, xgboost will stay silent. If 1, xgboost will print #' @param verbose If 0, xgboost will stay silent. If 1, xgboost will print
#' information of performance. If 2, xgboost will print information of both #' information of performance. If 2, xgboost will print information of both

2
R-package/man/xgb.cv.Rd
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@ -20,7 +20,7 @@ xgb.cv(params = list(), data, nrounds, nfold, label = NULL, showsd = TRUE,
} }
See \url{https://github.com/tqchen/xgboost/wiki/Parameters} for See \url{https://github.com/tqchen/xgboost/wiki/Parameters} for
further details. See also inst/examples/demo.R for walkthrough example in R.} further details. See also demo/ for walkthrough example in R.}
\item{data}{takes an \code{xgb.DMatrix} as the input.} \item{data}{takes an \code{xgb.DMatrix} as the input.}

3
R-package/man/xgb.dump.Rd
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@ -13,7 +13,8 @@ xgb.dump(model, fname, fmap = "")
\item{fmap}{feature map file representing the type of feature. \item{fmap}{feature map file representing the type of feature.
Detailed description could be found at Detailed description could be found at
\url{https://github.com/tqchen/xgboost/wiki/Binary-Classification#dump-model}. \url{https://github.com/tqchen/xgboost/wiki/Binary-Classification#dump-model}.
Run inst/examples/demo.R for the result and inst/examples/featmap.txt See demo/ for walkthrough example in R, and
\url{https://github.com/tqchen/xgboost/blob/master/demo/data/featmap.txt}
for example Format.} for example Format.}
} }
\description{ \description{

2
R-package/man/xgb.train.Rd
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@ -20,7 +20,7 @@ xgb.train(params = list(), data, nrounds, watchlist = list(), obj = NULL,
} }
See \url{https://github.com/tqchen/xgboost/wiki/Parameters} for See \url{https://github.com/tqchen/xgboost/wiki/Parameters} for
further details. See also inst/examples/demo.R for walkthrough example in R.} further details. See also demo/ for walkthrough example in R.}
\item{data}{takes an \code{xgb.DMatrix} as the input.} \item{data}{takes an \code{xgb.DMatrix} as the input.}

2
R-package/man/xgboost.Rd
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@ -25,7 +25,7 @@ xgboost(data = NULL, label = NULL, params = list(), nrounds,
} }
See \url{https://github.com/tqchen/xgboost/wiki/Parameters} for See \url{https://github.com/tqchen/xgboost/wiki/Parameters} for
further details. See also inst/examples/demo.R for walkthrough example in R.} further details. See also demo/ for walkthrough example in R.}
\item{nrounds}{the max number of iterations} \item{nrounds}{the max number of iterations}

2
R-package/vignettes/xgboost.Rnw
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@ -173,7 +173,7 @@ objective function.
We also have \verb@slice@ for row extraction. It is useful in We also have \verb@slice@ for row extraction. It is useful in
cross-validation. cross-validation.
For a walkthrough demo, please see \verb@R-package/inst/examples/demo.R@ for further For a walkthrough demo, please see \verb@R-package/demo/@ for further
details. details.
\section{The Higgs Boson competition} \section{The Higgs Boson competition}